Abstract:Abstract. We consider the problem of computing the Liapunov and the period constants for a smooth di erential equation with a non degenerate critical point. First, we i n vestigate the structure of both constants when they are regarded as polynomials on the coe cients of the di erential equation. Secondly, w e t a k e advantadge of this structure to derive a method to obtain the explicit expression of the above-mentioned constants. Although this method is based on the use of the Runge-KuttaFehlberg methods of … Show more
“…Observe that if all L k (λ) vanish thenḞ = 0, and therefore F is a first integral, so the origin is a center. These L k (λ) are actually the Lyapunov constants, which are polynomials in the parameters λ (see [4]). For the sake of simplicity, we will denote them simply as L k .…”
Section: A Parallelization Of Lyapunov Methodsmentioning
confidence: 99%
“…We define the quasi degree of M as k, (k + − 1)(p k + q k ) and its weight as k, (1 − k − )(p k − q k ). Then, by [4], the monomials of a Lyapunov constant L j satisfy that they have quasi-degree 2j and weight 0. Now using these properties together with the degree of L j , we can select which monomials are candidates to be part of each A j , but with undetermined coefficients.…”
Section: Interpolation and Reconstruction Techniquementioning
This note presents some advances regarding the Lyapunov constants of some families of planar polynomial differential systems, as a first step towards the resolution of the center and cyclicity problems. Firstly, a parallelization approach is computationally implemented to achieve the 14th Lyapunov constant of the complete cubic family. Secondly, a technique based on interpolating some specific quantities so as to reconstruct the structure of the Lyapunov constants is used to study a Kukles system, some fifth-degree homogeneous systems and a quartic system with two invariant lines.
“…Observe that if all L k (λ) vanish thenḞ = 0, and therefore F is a first integral, so the origin is a center. These L k (λ) are actually the Lyapunov constants, which are polynomials in the parameters λ (see [4]). For the sake of simplicity, we will denote them simply as L k .…”
Section: A Parallelization Of Lyapunov Methodsmentioning
confidence: 99%
“…We define the quasi degree of M as k, (k + − 1)(p k + q k ) and its weight as k, (1 − k − )(p k − q k ). Then, by [4], the monomials of a Lyapunov constant L j satisfy that they have quasi-degree 2j and weight 0. Now using these properties together with the degree of L j , we can select which monomials are candidates to be part of each A j , but with undetermined coefficients.…”
Section: Interpolation and Reconstruction Techniquementioning
This note presents some advances regarding the Lyapunov constants of some families of planar polynomial differential systems, as a first step towards the resolution of the center and cyclicity problems. Firstly, a parallelization approach is computationally implemented to achieve the 14th Lyapunov constant of the complete cubic family. Secondly, a technique based on interpolating some specific quantities so as to reconstruct the structure of the Lyapunov constants is used to study a Kukles system, some fifth-degree homogeneous systems and a quartic system with two invariant lines.
“…As we have already mentioned, the studied polynomial systems have homogeneous nonlinearities of degree n. We will consider systems with even n, and the reason is as follows. It is a well-known fact that, given a parametric family of systems, its period constants are polynomials whose variables are the parameters of the system and having a particular structure based on their weight and quasi-degree (for more details see for instance [10,14]). It can be checked that this structure implies that, when the nonlinearities are homogeneous of degree n, some of the corresponding period constants are identically zero.…”
Section: Isochronicity Of Some Even Degree Systemsmentioning
“…Generally, we are not able to calculate a large number of Lyapunov constants due to the limitations of computers. We need to know in which step the calculation of Lyapunov constants can be stopped (in the sense that we have obtained enough quantities/polynomials) not only using computer technology but also using some other analytic and algebraic tools; see [4,5].…”
We consider a nine-parameter familiy of 3D quadratic systems, x˙=x+P2(x,y,z), y˙=−y+Q2(x,y,z), z˙=−z+R2(x,y,z), where P2,Q2,R2 are quadratic polynomials, in terms of integrability. We find necessary and sufficient conditions for the existence of two independent first integrals of corresponding semi-persistent, weakly persistent, and persistent systems. Unlike some of the earlier works, which primarily focus on planar systems, our research covers three-dimensional spaces, offering new insights into the complex dynamics that are not typically apparent in lower dimensions.
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